What makes Baoyu Translate notable?

4.9K downloads. Trust evidence available

How should Baoyu Translate be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Baoyu Translate

This skill should be used when the user asks to "translate", "翻译", "精翻", "translate article", "translate to Chinese", "translate to English", "改成中文", "改成英文",... Skill: Baoyu Translate Owner: jimliu Summary: This skill should be used when the user asks to "translate", "翻译", "精翻", "translate article", "translate to Chinese", "translate to English", "改成中文", "改成英文",... Tags: latest:1.117.3 Version history: v1.117.3 | 2026-06-13T05:01:28.863Z | auto - Updated description in SKILL.md for improved clarity and brevity. - Removed the file skill-card.md. - No changes to functional cod

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

4.9k

Updated

Oct 9, 2026

Version

1.117.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 4.9K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 4.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.117.3release · observed Jun 13, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17dfbhg0khk4fvtnx0stqg0yx83j25z:baoyu-translate

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-jimliu-baoyu-translate/snapshot"

Documentation

CLAWHUB

151,435 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: baoyu-translate
description: >-
  This skill should be used when the user asks to "translate", "翻译", "精翻", "translate article",
  "translate to Chinese", "translate to English", "改成中文", "改成英文", "convert to Chinese",
  "localize", "本地化", "refined translation", "精细翻译", "proofread translation", "快速翻译", "快翻",
  "这篇文章翻译一下", or provides a URL/file with translation intent. Supports three modes
  (quick/normal/refined) with custom glossary support.
version: 1.117.3
metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-translate
    requires:
      anyBins:
        - bun
        - npx
---

# Translator

Three-mode translation skill: **quick** for direct translation, **normal** for analysis-informed translation, **refined** for full publication-quality workflow with review and polish.

## User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.

Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.

## Script Directory

Scripts in `scripts/` subdirectory. `{baseDir}` = this SKILL.md's directory path. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun. Replace `{baseDir}` and `${BUN_X}` with actual values.

| Script | Purpose |
|--------|---------|
| `scripts/main.ts` | CLI entry point. Default action splits markdown into chunks; also supports explicit `chunk` subcommand |
| `scripts/chunk.ts` | Markdown chunking implementation used by `main.ts` and kept compatible for direct invocation |

## Preferences (EXTEND.md)

Check EXTEND.md in priority order — the first one found wins:

| Priority | Path | Scope |
|----------|------|-------|
| 1 | `.baoyu-skills/baoyu-translate/EXTEND.md` | Project |
| 2 | `${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-translate/EXTEND.md` | XDG |
| 3 | `$HOME/.baoyu-skills/baoyu-translate/EXTEND.md` | User home |

| Result | Action |
|--------|--------|
| Found | Read, parse, apply. On first use in session, briefly remind: "Using preferences from [path]. You can edit EXTEND.md to customize glossary, audience, etc." |
| Not found | **MUST** run first-time setup (see below) — do NOT silently use defaults |

**EXTEND.md supports**: default target language, default mode, target audience, custom glossaries (inline or file path), translation style, chunk settings.

Schema: [references/config/extend-schema.md](references/config/ext

_meta.json

{
  "ownerId": "kn7csrrndw79hpke5d0gsnx93d82k67r",
  "slug": "baoyu-translate",
  "version": "1.117.3",
  "publishedAt": 1781326888863
}

references/config/extend-schema.md

# EXTEND.md Schema for baoyu-translate

## Format

EXTEND.md uses YAML format:

```yaml
# Default target language (ISO code or common name)
target_language: zh-CN

# Default translation mode
default_mode: normal  # quick | normal | refined

# Target audience (affects annotation depth and register)
audience: general  # general | technical | academic | business | or custom string

# Translation style preference
style: storytelling  # storytelling | formal | technical | literal | academic | business | humorous | conversational | elegant | or custom string

# Word count threshold to trigger chunked translation
chunk_threshold: 4000

# Max words per chunk
chunk_max_words: 5000

# Custom glossary (merged with built-in glossary)
# CLI --glossary flag overrides these
# Supports inline entries and/or file paths
glossary:
  - from: "Reinforcement Learning"
    to: "强化学习"
  - from: "Transformer"
    to: "Transformer"
    note: "Keep English"

# Load glossary from external file(s)
# Supports absolute path or relative to EXTEND.md location
# File format: markdown table with | from | to | note | columns,
# or YAML list of {from, to, note} entries
glossary_files:
  - ./my-glossary.md
  - /path/to/shared-glossary.yaml

# Language-pair specific glossaries
glossaries:
  en-zh:
    - from: "AI Agent"
      to: "AI 智能体"
  ja-zh:
    - from: "人工知能"
      to: "人工智能"
```

## Fields

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `target_language` | string | `zh-CN` | Default target language code |
| `default_mode` | string | `normal` | Default translation mode (`quick` / `normal` / `refined`) |
| `audience` | string | `general` | Target reader profile (`general` / `technical` / `academic` / `business` / custom) |
| `style` | string | `storytelling` | Translation style (`storytelling` / `formal` / `technical` / `literal` / `academic` / `business` / `humorous` / `conversational` / `elegant` / custom) |
| `chunk_threshold` | number | `4000` | Word count threshold to trigger chunked translation |
| `chunk_max_words` | number | `5000` | Max words per chunk |
| `glossary` | array | `[]` | Universal glossary entries (inline) |
| `glossary_files` | array | `[]` | External glossary file paths (absolute or relative to EXTEND.md) |
| `glossaries` | object | `{}` | Language-pair specific glossary entries |

## Glossary Entry

| Field | Required | Description |
|-------|----------|-------------|
| `from` | yes | Source term |
| `to` | yes | Target translation |
| `note` | no | Usage note (e.g., "Keep English", "Only in tech context") |

## Glossary File Format

External glossary files (`glossary_files`) support two formats:

**Markdown table** (`.md`):
```markdown
| from | to | note |
|------|----|------|
| Reinforcement Learning | 强化学习 | |
| Transformer | Transformer | Keep English |
```

**YAML list** (`.yaml` / `.yml`):
```yaml
- from: "Reinforcement Learning"
  to: "强化学习"
- from: "Transformer"
  to: "Transformer"
  note: "Keep English"
```

references/config/first-time-setup.md

---
name: first-time-setup
description: First-time setup flow for baoyu-translate preferences
---

# First-Time Setup

## Overview

When no EXTEND.md is found, guide user through preference setup.

**BLOCKING OPERATION**: This setup MUST complete before ANY translation. Do NOT:
- Start translating content
- Ask about files or output paths
- Proceed to any workflow steps

ONLY ask the questions in this setup flow, save EXTEND.md, then continue.

## Setup Flow

```
No EXTEND.md found
        |
        v
+---------------------+
| AskUserQuestion     |
| (all questions)     |
+---------------------+
        |
        v
+---------------------+
| Create EXTEND.md    |
+---------------------+
        |
        v
    Continue translation
```

## Questions

**Language**: Use user's input language or saved language preference.

Use AskUserQuestion with ALL questions in ONE call:

### Question 1: Target Language

```yaml
header: "Target Language"
question: "Default target language?"
options:
  - label: "简体中文 zh-CN (Recommended)"
    description: "Translate to Simplified Chinese"
  - label: "繁體中文 zh-TW"
    description: "Translate to Traditional Chinese"
  - label: "English en"
    description: "Translate to English"
  - label: "日本語 ja"
    description: "Translate to Japanese"
```

Note: User may type a custom language code.

### Question 2: Translation Mode

```yaml
header: "Mode"
question: "Default translation mode?"
options:
  - label: "Normal (Recommended)"
    description: "Analyze content first, then translate"
  - label: "Quick"
    description: "Direct translation, no analysis"
  - label: "Refined"
    description: "Full workflow: analyze → translate → review → polish"
```

### Question 3: Target Audience

```yaml
header: "Audience"
question: "Default target audience?"
options:
  - label: "General readers (Recommended)"
    description: "Plain language, more translator's notes for jargon"
  - label: "Technical"
    description: "Developers/engineers, less annotation on tech terms"
  - label: "Academic"
    description: "Formal register, precise terminology"
  - label: "Business"
    description: "Business-friendly tone, explain tech concepts"
```

Note: User may type a custom audience description.

### Question 4: Translation Style

```yaml
header: "Style"
question: "Translation style?"
options:
  - label: "Storytelling (Recommended)"
    description: "Engaging narrative flow, smooth transitions"
  - label: "Formal"
    description: "Professional, structured, neutral tone"
  - label: "Technical"
    description: "Precise, documentation-style, concise"
  - label: "Literal"
    description: "Close to original structure"
  - label: "Academic"
    description: "Scholarly, rigorous, formal register"
  - label: "Business"
    description: "Concise, results-focused, action-oriented"
  - label: "Humorous"
    description: "Preserves humor, witty, playful"
  - label: "Conversational"
    description: "Casual, friendly, spoken-like"
  - label: "Elegant"
    de

references/glossary-en-zh.md

# English → Chinese Glossary

Terms where standard translation is non-obvious or easily mistranslated. Common terms with straightforward translations (e.g., Machine Learning → 机器学习) are omitted — the model already knows these.

| English | Chinese | Notes |
|---------|---------|-------|
| AI Agent | AI 智能体 | |
| Vibe Coding | 凭感觉编程 | |
| the Bitter Lesson | 苦涩的教训 | Rich Sutton's essay |
| Context Engineering | 上下文工程 | |
| AI Wrapper | AI 套壳 | |
| RLHF | 基于人类反馈的强化学习 | |
| Hallucination | 幻觉 | AI-specific meaning |
| Alignment | 对齐 | AI safety context |
| Guardrails | 护栏 | AI safety context |
| Agentic | 智能体化的 | |
| Grounding | 基础化/落地 | Context-dependent |
| Embedding | 嵌入/向量化 | Context-dependent |
| Moat | 护城河 | Business context |
| Flywheel | 飞轮效应 | |
| Boilerplate | 样板代码 | |

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